Overview

Dataset statistics

Number of variables32
Number of observations11026
Missing cells283660
Missing cells (%)80.4%
Duplicate rows449
Duplicate rows (%)4.1%
Total size in memory4.0 MiB
Average record size in memory377.4 B

Variable types

Categorical3
Numeric29

Alerts

art_status has constant value "Positive"Constant
Dataset has 449 (4.1%) duplicate rowsDuplicates
Sex is highly overall correlated with creatinine_umol_L and 2 other fieldsHigh correlation
alt_U_L is highly overall correlated with ast_U_LHigh correlation
ast_U_L is highly overall correlated with alt_U_LHigh correlation
cd4_count_cells_uL is highly overall correlated with hiv_vl_copies_mL and 1 other fieldsHigh correlation
creatinine_clearance_mL_min is highly overall correlated with creatinine_umol_L and 1 other fieldsHigh correlation
creatinine_umol_L is highly overall correlated with Sex and 2 other fieldsHigh correlation
hematocrit_percent is highly overall correlated with hemoglobin_g_dLHigh correlation
hemoglobin_g_dL is highly overall correlated with Sex and 1 other fieldsHigh correlation
hiv_vl_copies_mL is highly overall correlated with cd4_count_cells_uLHigh correlation
ldl_cholesterol_mmol_L_consolidated is highly overall correlated with total_cholesterol_mmol_LHigh correlation
lymphocyte_count_10e9_L is highly overall correlated with wbc_count_10e9_LHigh correlation
mch_pg is highly overall correlated with mchc_g_dL and 2 other fieldsHigh correlation
mchc_g_dL is highly overall correlated with mch_pg and 1 other fieldsHigh correlation
mcv_fL is highly overall correlated with mch_pg and 1 other fieldsHigh correlation
monocyte_count_10e9_L is highly overall correlated with wbc_count_10e9_LHigh correlation
neutrophil_count_10e9_L is highly overall correlated with wbc_count_10e9_LHigh correlation
potassium_mEq_L is highly overall correlated with study_sourceHigh correlation
rdw_percent is highly overall correlated with study_sourceHigh correlation
study_source is highly overall correlated with Sex and 10 other fieldsHigh correlation
total_cholesterol_mmol_L is highly overall correlated with ldl_cholesterol_mmol_L_consolidatedHigh correlation
total_protein_g_dL is highly overall correlated with study_sourceHigh correlation
triglycerides_mmol_L_consolidated is highly overall correlated with study_sourceHigh correlation
wbc_count_10e9_L is highly overall correlated with lymphocyte_count_10e9_L and 2 other fieldsHigh correlation
Age (at enrolment) has 1246 (11.3%) missing valuesMissing
Sex has 1320 (12.0%) missing valuesMissing
BMI (kg/m²) has 8163 (74.0%) missing valuesMissing
cd4_count_cells_uL has 7542 (68.4%) missing valuesMissing
hiv_vl_copies_mL has 9468 (85.9%) missing valuesMissing
art_status has 10809 (98.0%) missing valuesMissing
hemoglobin_g_dL has 9656 (87.6%) missing valuesMissing
hematocrit_percent has 9276 (84.1%) missing valuesMissing
wbc_count_10e9_L has 9069 (82.3%) missing valuesMissing
platelet_count_10e9_L has 9656 (87.6%) missing valuesMissing
neutrophil_count_10e9_L has 9661 (87.6%) missing valuesMissing
lymphocyte_count_10e9_L has 9656 (87.6%) missing valuesMissing
monocyte_count_10e9_L has 9757 (88.5%) missing valuesMissing
eosinophil_count_10e9_L has 9757 (88.5%) missing valuesMissing
basophil_count_10e9_L has 9757 (88.5%) missing valuesMissing
mcv_fL has 9757 (88.5%) missing valuesMissing
mch_pg has 9974 (90.5%) missing valuesMissing
mchc_g_dL has 9974 (90.5%) missing valuesMissing
rdw_percent has 10809 (98.0%) missing valuesMissing
alt_U_L has 10708 (97.1%) missing valuesMissing
ast_U_L has 10285 (93.3%) missing valuesMissing
albumin_g_dL has 10083 (91.4%) missing valuesMissing
total_protein_g_dL has 10097 (91.6%) missing valuesMissing
creatinine_umol_L has 10809 (98.0%) missing valuesMissing
creatinine_clearance_mL_min has 10809 (98.0%) missing valuesMissing
potassium_mEq_L has 10847 (98.4%) missing valuesMissing
total_cholesterol_mmol_L has 9128 (82.8%) missing valuesMissing
hdl_cholesterol_mmol_L_consolidated has 8108 (73.5%) missing valuesMissing
ldl_cholesterol_mmol_L_consolidated has 8109 (73.5%) missing valuesMissing
triglycerides_mmol_L_consolidated has 10054 (91.2%) missing valuesMissing
fasting_glucose_mmol_L has 9316 (84.5%) missing valuesMissing
hiv_vl_copies_mL has 423 (3.8%) zerosZeros
basophil_count_10e9_L has 135 (1.2%) zerosZeros

Reproduction

Analysis started2025-11-25 06:49:24.034751
Analysis finished2025-11-25 06:49:53.939773
Duration29.91 seconds
Software versionydata-profiling vv4.18.0
Download configurationconfig.json

Variables

study_source
Categorical

High correlation 

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size661.9 KiB
JHB_Aurum_009
2751 
JHB_VIDA_007
2129 
JHB_WRHI_001
1072 
JHB_Ezin_002
1053 
JHB_DPHRU_053
998 
Other values (12)
3023 

Length

Max length14
Median length12
Mean length12.457373
Min length12

Characters and Unicode

Total characters137355
Distinct characters35
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowJHB_WRHI_003
2nd rowJHB_WRHI_003
3rd rowJHB_WRHI_003
4th rowJHB_WRHI_003
5th rowJHB_WRHI_003

Common Values

ValueCountFrequency (%)
JHB_Aurum_0092751
25.0%
JHB_VIDA_0072129
19.3%
JHB_WRHI_0011072
 
9.7%
JHB_Ezin_0021053
 
9.6%
JHB_DPHRU_053998
 
9.1%
JHB_DPHRU_013768
 
7.0%
JHB_VIDA_008557
 
5.1%
JHB_ACTG_019283
 
2.6%
JHB_ACTG_015264
 
2.4%
JHB_ACTG_018240
 
2.2%
Other values (7)911
 
8.3%

Length

2025-11-25T08:49:53.966890image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
jhb_aurum_0092751
25.0%
jhb_vida_0072129
19.3%
jhb_wrhi_0011072
 
9.7%
jhb_ezin_0021053
 
9.6%
jhb_dphru_053998
 
9.1%
jhb_dphru_013768
 
7.0%
jhb_vida_008557
 
5.1%
jhb_actg_019283
 
2.6%
jhb_actg_015264
 
2.4%
jhb_actg_018240
 
2.2%
Other values (7)911
 
8.3%

Most occurring characters

ValueCountFrequency (%)
_22052
16.1%
019068
13.9%
H14344
10.4%
J11026
 
8.0%
B11026
 
8.0%
A6739
 
4.9%
u5502
 
4.0%
D4452
 
3.2%
I4154
 
3.0%
R3318
 
2.4%
Other values (25)35674
26.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter68062
49.6%
Decimal Number33078
24.1%
Connector Punctuation22052
 
16.1%
Lowercase Letter14163
 
10.3%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
H14344
21.1%
J11026
16.2%
B11026
16.2%
A6739
9.9%
D4452
 
6.5%
I4154
 
6.1%
R3318
 
4.9%
V2686
 
3.9%
P2029
 
3.0%
U1766
 
2.6%
Other values (8)6522
9.6%
Decimal Number
ValueCountFrequency (%)
019068
57.6%
93034
 
9.2%
12879
 
8.7%
72149
 
6.5%
31983
 
6.0%
51441
 
4.4%
21310
 
4.0%
8797
 
2.4%
6316
 
1.0%
4101
 
0.3%
Lowercase Letter
ValueCountFrequency (%)
u5502
38.8%
m2751
19.4%
r2751
19.4%
n1053
 
7.4%
i1053
 
7.4%
z1053
 
7.4%
Connector Punctuation
ValueCountFrequency (%)
_22052
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin82225
59.9%
Common55130
40.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
H14344
17.4%
J11026
13.4%
B11026
13.4%
A6739
8.2%
u5502
 
6.7%
D4452
 
5.4%
I4154
 
5.1%
R3318
 
4.0%
m2751
 
3.3%
r2751
 
3.3%
Other values (14)16162
19.7%
Common
ValueCountFrequency (%)
_22052
40.0%
019068
34.6%
93034
 
5.5%
12879
 
5.2%
72149
 
3.9%
31983
 
3.6%
51441
 
2.6%
21310
 
2.4%
8797
 
1.4%
6316
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII137355
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
_22052
16.1%
019068
13.9%
H14344
10.4%
J11026
 
8.0%
B11026
 
8.0%
A6739
 
4.9%
u5502
 
4.0%
D4452
 
3.2%
I4154
 
3.0%
R3318
 
2.4%
Other values (25)35674
26.0%

Age (at enrolment)
Real number (ℝ)

Missing 

Distinct740
Distinct (%)7.6%
Missing1246
Missing (%)11.3%
Infinite0
Infinite (%)0.0%
Mean35.94837
Minimum13
Maximum76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.3 KiB
2025-11-25T08:49:54.012391image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile20
Q127
median34
Q344
95-th percentile57
Maximum76
Range63
Interquartile range (IQR)17

Descriptive statistics

Standard deviation11.255534
Coefficient of variation (CV)0.31310275
Kurtosis-0.46859921
Mean35.94837
Median Absolute Deviation (MAD)8
Skewness0.5372417
Sum351575.06
Variance126.68704
MonotonicityNot monotonic
2025-11-25T08:49:54.060435image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31337
 
3.1%
26323
 
2.9%
30323
 
2.9%
28317
 
2.9%
34308
 
2.8%
29308
 
2.8%
25306
 
2.8%
24303
 
2.7%
33299
 
2.7%
27296
 
2.7%
Other values (730)6660
60.4%
(Missing)1246
 
11.3%
ValueCountFrequency (%)
131
 
< 0.1%
141
 
< 0.1%
156
 
0.1%
163
 
< 0.1%
1718
 
0.2%
18106
1.0%
18.11
 
< 0.1%
18.81
 
< 0.1%
19162
1.5%
19.31
 
< 0.1%
ValueCountFrequency (%)
761
 
< 0.1%
741
 
< 0.1%
722
 
< 0.1%
712
 
< 0.1%
701
 
< 0.1%
692
 
< 0.1%
684
 
< 0.1%
673
 
< 0.1%
665
 
< 0.1%
6515
0.1%

Sex
Categorical

High correlation  Missing 

Distinct4
Distinct (%)< 0.1%
Missing1320
Missing (%)12.0%
Memory size585.2 KiB
Female
4764 
Male
4518 
Unknown
 
423
Not available
 
1

Length

Max length13
Median length7
Mean length5.113332
Min length4

Characters and Unicode

Total characters49630
Distinct characters17
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowFemale
2nd rowFemale
3rd rowFemale
4th rowFemale
5th rowMale

Common Values

ValueCountFrequency (%)
Female4764
43.2%
Male4518
41.0%
Unknown423
 
3.8%
Not available1
 
< 0.1%
(Missing)1320
 
12.0%

Length

2025-11-25T08:49:54.105022image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-11-25T08:49:54.139616image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
female4764
49.1%
male4518
46.5%
unknown423
 
4.4%
not1
 
< 0.1%
available1
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
e14047
28.3%
a9285
18.7%
l9284
18.7%
F4764
 
9.6%
m4764
 
9.6%
M4518
 
9.1%
n1269
 
2.6%
o424
 
0.9%
w423
 
0.9%
k423
 
0.9%
Other values (7)429
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter39923
80.4%
Uppercase Letter9706
 
19.6%
Space Separator1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e14047
35.2%
a9285
23.3%
l9284
23.3%
m4764
 
11.9%
n1269
 
3.2%
o424
 
1.1%
w423
 
1.1%
k423
 
1.1%
t1
 
< 0.1%
v1
 
< 0.1%
Other values (2)2
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
F4764
49.1%
M4518
46.5%
U423
 
4.4%
N1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin49629
> 99.9%
Common1
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e14047
28.3%
a9285
18.7%
l9284
18.7%
F4764
 
9.6%
m4764
 
9.6%
M4518
 
9.1%
n1269
 
2.6%
o424
 
0.9%
w423
 
0.9%
k423
 
0.9%
Other values (6)428
 
0.9%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII49630
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e14047
28.3%
a9285
18.7%
l9284
18.7%
F4764
 
9.6%
m4764
 
9.6%
M4518
 
9.1%
n1269
 
2.6%
o424
 
0.9%
w423
 
0.9%
k423
 
0.9%
Other values (7)429
 
0.9%

BMI (kg/m²)
Real number (ℝ)

Missing 

Distinct2057
Distinct (%)71.8%
Missing8163
Missing (%)74.0%
Infinite0
Infinite (%)0.0%
Mean27.048324
Minimum15.1
Maximum65.89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.3 KiB
2025-11-25T08:49:54.181054image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum15.1
5-th percentile18.144979
Q121.680643
median25.9
Q331.091306
95-th percentile40.268
Maximum65.89
Range50.79
Interquartile range (IQR)9.410663

Descriptive statistics

Standard deviation7.0432723
Coefficient of variation (CV)0.26039588
Kurtosis1.3574619
Mean27.048324
Median Absolute Deviation (MAD)4.6
Skewness1.0118398
Sum77439.352
Variance49.607684
MonotonicityNot monotonic
2025-11-25T08:49:54.228871image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26.312
 
0.1%
2510
 
0.1%
21.810
 
0.1%
21.59
 
0.1%
20.89
 
0.1%
26.79
 
0.1%
26.88
 
0.1%
32.38
 
0.1%
318
 
0.1%
25.88
 
0.1%
Other values (2047)2772
 
25.1%
(Missing)8163
74.0%
ValueCountFrequency (%)
15.11
< 0.1%
15.241
< 0.1%
15.269471081
< 0.1%
15.32
< 0.1%
15.338972351
< 0.1%
15.377500291
< 0.1%
15.391
< 0.1%
15.445162251
< 0.1%
15.461
< 0.1%
15.480864371
< 0.1%
ValueCountFrequency (%)
65.891
< 0.1%
62.841
< 0.1%
58.621
< 0.1%
571
< 0.1%
56.421
< 0.1%
56.11
< 0.1%
56.091
< 0.1%
54.91
< 0.1%
54.31
< 0.1%
53.911
< 0.1%

cd4_count_cells_uL
Real number (ℝ)

High correlation  Missing 

Distinct1799
Distinct (%)51.6%
Missing7542
Missing (%)68.4%
Infinite0
Infinite (%)0.0%
Mean337.27033
Minimum0.26
Maximum2703
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.3 KiB
2025-11-25T08:49:54.275642image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0.26
5-th percentile9.086
Q126.09
median304
Q3525
95-th percentile898.4
Maximum2703
Range2702.74
Interquartile range (IQR)498.91

Descriptive statistics

Standard deviation311.92696
Coefficient of variation (CV)0.92485739
Kurtosis2.9429313
Mean337.27033
Median Absolute Deviation (MAD)270.025
Skewness1.1688051
Sum1175049.8
Variance97298.427
MonotonicityNot monotonic
2025-11-25T08:49:54.324002image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50010
 
0.1%
3159
 
0.1%
4679
 
0.1%
4209
 
0.1%
3509
 
0.1%
4828
 
0.1%
4438
 
0.1%
4498
 
0.1%
4278
 
0.1%
3368
 
0.1%
Other values (1789)3398
30.8%
(Missing)7542
68.4%
ValueCountFrequency (%)
0.261
< 0.1%
0.341
< 0.1%
0.451
< 0.1%
0.531
< 0.1%
0.631
< 0.1%
0.651
< 0.1%
0.71
< 0.1%
0.771
< 0.1%
0.831
< 0.1%
0.911
< 0.1%
ValueCountFrequency (%)
27031
< 0.1%
26092
< 0.1%
19961
< 0.1%
17811
< 0.1%
17251
< 0.1%
15961
< 0.1%
15771
< 0.1%
15681
< 0.1%
15641
< 0.1%
15491
< 0.1%

hiv_vl_copies_mL
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct1022
Distinct (%)65.6%
Missing9468
Missing (%)85.9%
Infinite0
Infinite (%)0.0%
Mean63629.47
Minimum0
Maximum4117370
Zeros423
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size86.3 KiB
2025-11-25T08:49:54.371864image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6770.5
Q344295.25
95-th percentile279377.25
Maximum4117370
Range4117370
Interquartile range (IQR)44295.25

Descriptive statistics

Standard deviation211323.28
Coefficient of variation (CV)3.3211541
Kurtosis137.06076
Mean63629.47
Median Absolute Deviation (MAD)6770.5
Skewness9.877322
Sum99134714
Variance4.4657527 × 1010
MonotonicityNot monotonic
2025-11-25T08:49:54.419839image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0423
 
3.8%
4039
 
0.4%
839803
 
< 0.1%
120493
 
< 0.1%
39553
 
< 0.1%
265682
 
< 0.1%
1466852
 
< 0.1%
115992
 
< 0.1%
10502
 
< 0.1%
885392
 
< 0.1%
Other values (1012)1077
 
9.8%
(Missing)9468
85.9%
ValueCountFrequency (%)
0423
3.8%
101
 
< 0.1%
311
 
< 0.1%
4039
 
0.4%
411
 
< 0.1%
511
 
< 0.1%
631
 
< 0.1%
741
 
< 0.1%
821
 
< 0.1%
871
 
< 0.1%
ValueCountFrequency (%)
41173701
< 0.1%
27572981
< 0.1%
26700001
< 0.1%
23246901
< 0.1%
18981051
< 0.1%
17604591
< 0.1%
15519881
< 0.1%
13932131
< 0.1%
12039331
< 0.1%
11350111
< 0.1%

art_status
Categorical

Constant  Missing 

Distinct1
Distinct (%)0.5%
Missing10809
Missing (%)98.0%
Memory size603.3 KiB
Positive
217 

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters1736
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPositive
2nd rowPositive
3rd rowPositive
4th rowPositive
5th rowPositive

Common Values

ValueCountFrequency (%)
Positive217
 
2.0%
(Missing)10809
98.0%

Length

2025-11-25T08:49:54.467736image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-11-25T08:49:54.503679image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
positive217
100.0%

Most occurring characters

ValueCountFrequency (%)
i434
25.0%
P217
12.5%
o217
12.5%
s217
12.5%
t217
12.5%
v217
12.5%
e217
12.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1519
87.5%
Uppercase Letter217
 
12.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i434
28.6%
o217
14.3%
s217
14.3%
t217
14.3%
v217
14.3%
e217
14.3%
Uppercase Letter
ValueCountFrequency (%)
P217
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1736
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
i434
25.0%
P217
12.5%
o217
12.5%
s217
12.5%
t217
12.5%
v217
12.5%
e217
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII1736
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i434
25.0%
P217
12.5%
o217
12.5%
s217
12.5%
t217
12.5%
v217
12.5%
e217
12.5%

hemoglobin_g_dL
Real number (ℝ)

High correlation  Missing 

Distinct110
Distinct (%)8.0%
Missing9656
Missing (%)87.6%
Infinite0
Infinite (%)0.0%
Mean13.51073
Minimum6.1
Maximum18.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.3 KiB
2025-11-25T08:49:54.541706image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum6.1
5-th percentile10.1
Q112.4
median13.6
Q314.8
95-th percentile16.4
Maximum18.4
Range12.3
Interquartile range (IQR)2.4

Descriptive statistics

Standard deviation1.9079994
Coefficient of variation (CV)0.14122105
Kurtosis0.40694345
Mean13.51073
Median Absolute Deviation (MAD)1.2
Skewness-0.45113762
Sum18509.7
Variance3.6404618
MonotonicityNot monotonic
2025-11-25T08:49:54.590554image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13.439
 
0.4%
12.537
 
0.3%
13.834
 
0.3%
13.934
 
0.3%
13.333
 
0.3%
14.432
 
0.3%
14.132
 
0.3%
13.231
 
0.3%
14.630
 
0.3%
1330
 
0.3%
Other values (100)1038
 
9.4%
(Missing)9656
87.6%
ValueCountFrequency (%)
6.11
 
< 0.1%
6.81
 
< 0.1%
7.21
 
< 0.1%
7.31
 
< 0.1%
7.41
 
< 0.1%
7.62
< 0.1%
7.73
< 0.1%
7.91
 
< 0.1%
83
< 0.1%
8.21
 
< 0.1%
ValueCountFrequency (%)
18.41
 
< 0.1%
18.31
 
< 0.1%
18.11
 
< 0.1%
181
 
< 0.1%
17.92
< 0.1%
17.82
< 0.1%
17.71
 
< 0.1%
17.63
< 0.1%
17.51
 
< 0.1%
17.44
< 0.1%

hematocrit_percent
Real number (ℝ)

High correlation  Missing 

Distinct226
Distinct (%)12.9%
Missing9276
Missing (%)84.1%
Infinite0
Infinite (%)0.0%
Mean38.897383
Minimum10
Maximum58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.3 KiB
2025-11-25T08:49:54.638845image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile20
Q135
median40
Q345
95-th percentile50
Maximum58
Range48
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.9173113
Coefficient of variation (CV)0.22925222
Kurtosis1.4747232
Mean38.897383
Median Absolute Deviation (MAD)5
Skewness-0.99696207
Sum68070.42
Variance79.51844
MonotonicityNot monotonic
2025-11-25T08:49:54.687392image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
45108
 
1.0%
40108
 
1.0%
4291
 
0.8%
4191
 
0.8%
4385
 
0.8%
3970
 
0.6%
3770
 
0.6%
4466
 
0.6%
3861
 
0.6%
3559
 
0.5%
Other values (216)941
 
8.5%
(Missing)9276
84.1%
ValueCountFrequency (%)
1029
0.3%
132
 
< 0.1%
144
 
< 0.1%
1539
0.4%
15.31
 
< 0.1%
162
 
< 0.1%
182
 
< 0.1%
2012
 
0.1%
211
 
< 0.1%
21.81
 
< 0.1%
ValueCountFrequency (%)
587
 
0.1%
577
 
0.1%
563
 
< 0.1%
5530
0.3%
54.71
 
< 0.1%
545
 
< 0.1%
53.71
 
< 0.1%
53.31
 
< 0.1%
533
 
< 0.1%
52.61
 
< 0.1%

wbc_count_10e9_L
Real number (ℝ)

High correlation  Missing 

Distinct566
Distinct (%)28.9%
Missing9069
Missing (%)82.3%
Infinite0
Infinite (%)0.0%
Mean4.9626009
Minimum1.2
Maximum24.68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.3 KiB
2025-11-25T08:49:54.736850image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1.2
5-th percentile2.6
Q13.75
median4.61
Q35.83
95-th percentile8.202
Maximum24.68
Range23.48
Interquartile range (IQR)2.08

Descriptive statistics

Standard deviation1.8643316
Coefficient of variation (CV)0.37567631
Kurtosis10.236814
Mean4.9626009
Median Absolute Deviation (MAD)1.01
Skewness1.9165626
Sum9711.81
Variance3.4757323
MonotonicityNot monotonic
2025-11-25T08:49:54.784429image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.732
 
0.3%
3.628
 
0.3%
4.528
 
0.3%
3.827
 
0.2%
4.626
 
0.2%
3.926
 
0.2%
4.226
 
0.2%
4.324
 
0.2%
524
 
0.2%
3.123
 
0.2%
Other values (556)1693
 
15.4%
(Missing)9069
82.3%
ValueCountFrequency (%)
1.21
 
< 0.1%
1.521
 
< 0.1%
1.63
< 0.1%
1.76
0.1%
1.711
 
< 0.1%
1.84
< 0.1%
1.821
 
< 0.1%
1.851
 
< 0.1%
1.95
< 0.1%
1.941
 
< 0.1%
ValueCountFrequency (%)
24.681
< 0.1%
17.961
< 0.1%
15.851
< 0.1%
15.781
< 0.1%
15.331
< 0.1%
14.981
< 0.1%
14.81
< 0.1%
13.211
< 0.1%
13.031
< 0.1%
12.421
< 0.1%

platelet_count_10e9_L
Real number (ℝ)

Missing 

Distinct327
Distinct (%)23.9%
Missing9656
Missing (%)87.6%
Infinite0
Infinite (%)0.0%
Mean266.54745
Minimum7
Maximum884
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.3 KiB
2025-11-25T08:49:54.829122image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile164
Q1216
median258
Q3306
95-th percentile405
Maximum884
Range877
Interquartile range (IQR)90

Descriptive statistics

Standard deviation78.805543
Coefficient of variation (CV)0.29565297
Kurtosis5.6313277
Mean266.54745
Median Absolute Deviation (MAD)44
Skewness1.3390495
Sum365170
Variance6210.3137
MonotonicityNot monotonic
2025-11-25T08:49:54.878437image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26115
 
0.1%
26614
 
0.1%
28713
 
0.1%
24013
 
0.1%
21913
 
0.1%
24412
 
0.1%
21612
 
0.1%
26412
 
0.1%
22212
 
0.1%
24511
 
0.1%
Other values (317)1243
 
11.3%
(Missing)9656
87.6%
ValueCountFrequency (%)
71
< 0.1%
171
< 0.1%
421
< 0.1%
631
< 0.1%
801
< 0.1%
821
< 0.1%
871
< 0.1%
901
< 0.1%
961
< 0.1%
982
< 0.1%
ValueCountFrequency (%)
8841
< 0.1%
7511
< 0.1%
6761
< 0.1%
6521
< 0.1%
6191
< 0.1%
5881
< 0.1%
5751
< 0.1%
5521
< 0.1%
5491
< 0.1%
5441
< 0.1%

neutrophil_count_10e9_L
Real number (ℝ)

High correlation  Missing 

Distinct427
Distinct (%)31.3%
Missing9661
Missing (%)87.6%
Infinite0
Infinite (%)0.0%
Mean2.7509363
Minimum0.19
Maximum9.68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.3 KiB
2025-11-25T08:49:55.012008image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0.19
5-th percentile1.264
Q11.87
median2.51
Q33.35
95-th percentile5.23
Maximum9.68
Range9.49
Interquartile range (IQR)1.48

Descriptive statistics

Standard deviation1.2579867
Coefficient of variation (CV)0.45729403
Kurtosis3.776255
Mean2.7509363
Median Absolute Deviation (MAD)0.69
Skewness1.5319142
Sum3755.028
Variance1.5825306
MonotonicityNot monotonic
2025-11-25T08:49:55.062209image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.9911
 
0.1%
2.6610
 
0.1%
2.1310
 
0.1%
2.4910
 
0.1%
2.079
 
0.1%
2.29
 
0.1%
1.519
 
0.1%
2.369
 
0.1%
2.198
 
0.1%
3.728
 
0.1%
Other values (417)1272
 
11.5%
(Missing)9661
87.6%
ValueCountFrequency (%)
0.191
< 0.1%
0.591
< 0.1%
0.652
< 0.1%
0.721
< 0.1%
0.751
< 0.1%
0.811
< 0.1%
0.8181
< 0.1%
0.862
< 0.1%
0.91
< 0.1%
0.922
< 0.1%
ValueCountFrequency (%)
9.681
< 0.1%
9.661
< 0.1%
9.311
< 0.1%
9.171
< 0.1%
8.521
< 0.1%
8.351
< 0.1%
8.071
< 0.1%
7.961
< 0.1%
7.661
< 0.1%
7.431
< 0.1%

lymphocyte_count_10e9_L
Real number (ℝ)

High correlation  Missing 

Distinct320
Distinct (%)23.4%
Missing9656
Missing (%)87.6%
Infinite0
Infinite (%)0.0%
Mean1.9186569
Minimum0.21
Maximum9.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.3 KiB
2025-11-25T08:49:55.112235image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0.21
5-th percentile0.8845
Q11.38
median1.83
Q32.34
95-th percentile3.2665
Maximum9.94
Range9.73
Interquartile range (IQR)0.96

Descriptive statistics

Standard deviation0.7813107
Coefficient of variation (CV)0.40721751
Kurtosis8.7588809
Mean1.9186569
Median Absolute Deviation (MAD)0.49
Skewness1.4763406
Sum2628.56
Variance0.61044641
MonotonicityNot monotonic
2025-11-25T08:49:55.164312image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.6113
 
0.1%
1.3313
 
0.1%
1.813
 
0.1%
1.8213
 
0.1%
2.0112
 
0.1%
1.5912
 
0.1%
1.6612
 
0.1%
2.0812
 
0.1%
1.4712
 
0.1%
1.5312
 
0.1%
Other values (310)1246
 
11.3%
(Missing)9656
87.6%
ValueCountFrequency (%)
0.211
 
< 0.1%
0.221
 
< 0.1%
0.251
 
< 0.1%
0.271
 
< 0.1%
0.331
 
< 0.1%
0.372
< 0.1%
0.451
 
< 0.1%
0.463
< 0.1%
0.471
 
< 0.1%
0.491
 
< 0.1%
ValueCountFrequency (%)
9.941
< 0.1%
5.921
< 0.1%
5.321
< 0.1%
4.731
< 0.1%
4.71
< 0.1%
4.682
< 0.1%
4.581
< 0.1%
4.311
< 0.1%
4.211
< 0.1%
4.21
< 0.1%

monocyte_count_10e9_L
Real number (ℝ)

High correlation  Missing 

Distinct96
Distinct (%)7.6%
Missing9757
Missing (%)88.5%
Infinite0
Infinite (%)0.0%
Mean0.44579984
Minimum0.11
Maximum2.12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.3 KiB
2025-11-25T08:49:55.213041image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0.11
5-th percentile0.22
Q10.33
median0.42
Q30.53
95-th percentile0.77
Maximum2.12
Range2.01
Interquartile range (IQR)0.2

Descriptive statistics

Standard deviation0.18297858
Coefficient of variation (CV)0.41045008
Kurtosis10.544407
Mean0.44579984
Median Absolute Deviation (MAD)0.1
Skewness2.0473435
Sum565.72
Variance0.033481162
MonotonicityNot monotonic
2025-11-25T08:49:55.263429image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3842
 
0.4%
0.3441
 
0.4%
0.4341
 
0.4%
0.3539
 
0.4%
0.3638
 
0.3%
0.437
 
0.3%
0.4137
 
0.3%
0.3736
 
0.3%
0.4835
 
0.3%
0.4233
 
0.3%
Other values (86)890
 
8.1%
(Missing)9757
88.5%
ValueCountFrequency (%)
0.114
 
< 0.1%
0.122
 
< 0.1%
0.144
 
< 0.1%
0.154
 
< 0.1%
0.164
 
< 0.1%
0.171
 
< 0.1%
0.188
0.1%
0.198
0.1%
0.29
0.1%
0.2116
0.1%
ValueCountFrequency (%)
2.121
< 0.1%
1.841
< 0.1%
1.541
< 0.1%
1.471
< 0.1%
1.421
< 0.1%
1.181
< 0.1%
1.171
< 0.1%
1.081
< 0.1%
1.072
< 0.1%
1.041
< 0.1%

eosinophil_count_10e9_L
Real number (ℝ)

Missing 

Distinct90
Distinct (%)7.1%
Missing9757
Missing (%)88.5%
Infinite0
Infinite (%)0.0%
Mean0.14078014
Minimum0
Maximum3.16
Zeros52
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size86.3 KiB
2025-11-25T08:49:55.314492image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01
Q10.03
median0.08
Q30.16
95-th percentile0.496
Maximum3.16
Range3.16
Interquartile range (IQR)0.13

Descriptive statistics

Standard deviation0.212717
Coefficient of variation (CV)1.5109873
Kurtosis47.469199
Mean0.14078014
Median Absolute Deviation (MAD)0.05
Skewness5.346545
Sum178.65
Variance0.045248523
MonotonicityNot monotonic
2025-11-25T08:49:55.364622image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0296
 
0.9%
0.0190
 
0.8%
0.0385
 
0.8%
0.0779
 
0.7%
0.0477
 
0.7%
0.0572
 
0.7%
0.0669
 
0.6%
0.155
 
0.5%
0.0852
 
0.5%
052
 
0.5%
Other values (80)542
 
4.9%
(Missing)9757
88.5%
ValueCountFrequency (%)
052
0.5%
0.0190
0.8%
0.0296
0.9%
0.0385
0.8%
0.0477
0.7%
0.0572
0.7%
0.0669
0.6%
0.0779
0.7%
0.0852
0.5%
0.0941
0.4%
ValueCountFrequency (%)
3.161
< 0.1%
1.891
< 0.1%
1.752
< 0.1%
1.571
< 0.1%
1.511
< 0.1%
1.481
< 0.1%
1.351
< 0.1%
1.251
< 0.1%
1.232
< 0.1%
1.151
< 0.1%

basophil_count_10e9_L
Real number (ℝ)

Missing  Zeros 

Distinct18
Distinct (%)1.4%
Missing9757
Missing (%)88.5%
Infinite0
Infinite (%)0.0%
Mean0.02534279
Minimum0
Maximum0.21
Zeros135
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size86.3 KiB
2025-11-25T08:49:55.406966image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.01
median0.02
Q30.03
95-th percentile0.06
Maximum0.21
Range0.21
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.020467253
Coefficient of variation (CV)0.8076164
Kurtosis13.166377
Mean0.02534279
Median Absolute Deviation (MAD)0.01
Skewness2.4966961
Sum32.16
Variance0.00041890843
MonotonicityNot monotonic
2025-11-25T08:49:55.447539image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.02351
 
3.2%
0.03265
 
2.4%
0.01244
 
2.2%
0135
 
1.2%
0.04129
 
1.2%
0.0569
 
0.6%
0.0629
 
0.3%
0.0719
 
0.2%
0.097
 
0.1%
0.086
 
0.1%
Other values (8)15
 
0.1%
(Missing)9757
88.5%
ValueCountFrequency (%)
0135
 
1.2%
0.01244
2.2%
0.02351
3.2%
0.03265
2.4%
0.04129
 
1.2%
0.0569
 
0.6%
0.0629
 
0.3%
0.0719
 
0.2%
0.086
 
0.1%
0.097
 
0.1%
ValueCountFrequency (%)
0.211
 
< 0.1%
0.191
 
< 0.1%
0.161
 
< 0.1%
0.151
 
< 0.1%
0.132
 
< 0.1%
0.122
 
< 0.1%
0.115
< 0.1%
0.12
 
< 0.1%
0.097
0.1%
0.086
0.1%

mcv_fL
Real number (ℝ)

High correlation  Missing 

Distinct379
Distinct (%)29.9%
Missing9757
Missing (%)88.5%
Infinite0
Infinite (%)0.0%
Mean88.587076
Minimum58.1
Maximum121.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.3 KiB
2025-11-25T08:49:55.491713image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum58.1
5-th percentile74.1
Q184.2
median88.4
Q393
95-th percentile104.72
Maximum121.1
Range63
Interquartile range (IQR)8.8

Descriptive statistics

Standard deviation8.7379195
Coefficient of variation (CV)0.098636503
Kurtosis1.3868719
Mean88.587076
Median Absolute Deviation (MAD)4.5
Skewness0.12628103
Sum112417
Variance76.351237
MonotonicityNot monotonic
2025-11-25T08:49:55.541127image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
87.315
 
0.1%
84.514
 
0.1%
89.314
 
0.1%
91.812
 
0.1%
8812
 
0.1%
90.411
 
0.1%
88.311
 
0.1%
91.711
 
0.1%
87.211
 
0.1%
89.110
 
0.1%
Other values (369)1148
 
10.4%
(Missing)9757
88.5%
ValueCountFrequency (%)
58.11
< 0.1%
59.71
< 0.1%
601
< 0.1%
60.11
< 0.1%
60.51
< 0.1%
60.91
< 0.1%
61.21
< 0.1%
61.81
< 0.1%
62.11
< 0.1%
62.21
< 0.1%
ValueCountFrequency (%)
121.11
< 0.1%
117.11
< 0.1%
115.71
< 0.1%
114.71
< 0.1%
1141
< 0.1%
113.71
< 0.1%
113.61
< 0.1%
113.41
< 0.1%
1131
< 0.1%
112.92
< 0.1%

mch_pg
Real number (ℝ)

High correlation  Missing 

Distinct138
Distinct (%)13.1%
Missing9974
Missing (%)90.5%
Infinite0
Infinite (%)0.0%
Mean28.411597
Minimum16.7
Maximum34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.3 KiB
2025-11-25T08:49:55.589836image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum16.7
5-th percentile23.1
Q127.1
median28.7
Q330.3
95-th percentile32.145
Maximum34
Range17.3
Interquartile range (IQR)3.2

Descriptive statistics

Standard deviation2.7248789
Coefficient of variation (CV)0.095907279
Kurtosis1.4802156
Mean28.411597
Median Absolute Deviation (MAD)1.6
Skewness-0.94437237
Sum29889
Variance7.4249653
MonotonicityNot monotonic
2025-11-25T08:49:55.638478image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28.625
 
0.2%
29.921
 
0.2%
28.821
 
0.2%
28.921
 
0.2%
27.920
 
0.2%
29.420
 
0.2%
27.519
 
0.2%
27.318
 
0.2%
27.218
 
0.2%
3018
 
0.2%
Other values (128)851
 
7.7%
(Missing)9974
90.5%
ValueCountFrequency (%)
16.71
< 0.1%
17.31
< 0.1%
17.61
< 0.1%
17.81
< 0.1%
17.91
< 0.1%
18.21
< 0.1%
18.41
< 0.1%
18.51
< 0.1%
18.81
< 0.1%
19.71
< 0.1%
ValueCountFrequency (%)
341
 
< 0.1%
33.91
 
< 0.1%
33.82
< 0.1%
33.71
 
< 0.1%
33.53
< 0.1%
33.42
< 0.1%
33.34
< 0.1%
33.21
 
< 0.1%
33.12
< 0.1%
332
< 0.1%

mchc_g_dL
Real number (ℝ)

High correlation  Missing 

Distinct59
Distinct (%)5.6%
Missing9974
Missing (%)90.5%
Infinite0
Infinite (%)0.0%
Mean32.653707
Minimum28.3
Maximum35.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.3 KiB
2025-11-25T08:49:55.687964image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum28.3
5-th percentile31.2
Q132.2
median32.7
Q333.2
95-th percentile33.9
Maximum35.9
Range7.6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.89265719
Coefficient of variation (CV)0.027337086
Kurtosis2.0274307
Mean32.653707
Median Absolute Deviation (MAD)0.5
Skewness-0.58209633
Sum34351.7
Variance0.79683686
MonotonicityNot monotonic
2025-11-25T08:49:55.741027image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32.660
 
0.5%
32.757
 
0.5%
33.154
 
0.5%
32.454
 
0.5%
3353
 
0.5%
33.252
 
0.5%
32.551
 
0.5%
32.850
 
0.5%
32.946
 
0.4%
32.344
 
0.4%
Other values (49)531
 
4.8%
(Missing)9974
90.5%
ValueCountFrequency (%)
28.31
< 0.1%
28.61
< 0.1%
28.71
< 0.1%
28.81
< 0.1%
29.32
< 0.1%
29.41
< 0.1%
29.81
< 0.1%
302
< 0.1%
30.21
< 0.1%
30.32
< 0.1%
ValueCountFrequency (%)
35.91
 
< 0.1%
35.61
 
< 0.1%
35.31
 
< 0.1%
352
 
< 0.1%
34.94
 
< 0.1%
34.72
 
< 0.1%
34.61
 
< 0.1%
34.53
 
< 0.1%
34.410
0.1%
34.33
 
< 0.1%

rdw_percent
Real number (ℝ)

High correlation  Missing 

Distinct58
Distinct (%)26.7%
Missing10809
Missing (%)98.0%
Infinite0
Infinite (%)0.0%
Mean14.628111
Minimum11.9
Maximum23.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.3 KiB
2025-11-25T08:49:55.794636image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum11.9
5-th percentile12.6
Q113.5
median14.3
Q315.1
95-th percentile18.34
Maximum23.9
Range12
Interquartile range (IQR)1.6

Descriptive statistics

Standard deviation1.805263
Coefficient of variation (CV)0.12341054
Kurtosis5.6324967
Mean14.628111
Median Absolute Deviation (MAD)0.8
Skewness2.0358278
Sum3174.3
Variance3.2589747
MonotonicityNot monotonic
2025-11-25T08:49:55.845249image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13.812
 
0.1%
14.311
 
0.1%
14.110
 
0.1%
13.310
 
0.1%
14.29
 
0.1%
13.48
 
0.1%
158
 
0.1%
15.28
 
0.1%
13.98
 
0.1%
14.77
 
0.1%
Other values (48)126
 
1.1%
(Missing)10809
98.0%
ValueCountFrequency (%)
11.91
 
< 0.1%
12.13
< 0.1%
12.21
 
< 0.1%
12.41
 
< 0.1%
12.53
< 0.1%
12.66
0.1%
12.71
 
< 0.1%
12.82
 
< 0.1%
12.94
< 0.1%
133
< 0.1%
ValueCountFrequency (%)
23.91
< 0.1%
21.91
< 0.1%
20.82
< 0.1%
20.51
< 0.1%
201
< 0.1%
19.82
< 0.1%
19.51
< 0.1%
18.91
< 0.1%
18.51
< 0.1%
18.32
< 0.1%

alt_U_L
Real number (ℝ)

High correlation  Missing 

Distinct53
Distinct (%)16.7%
Missing10708
Missing (%)97.1%
Infinite0
Infinite (%)0.0%
Mean21.487421
Minimum6
Maximum157
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.3 KiB
2025-11-25T08:49:55.892351image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile9
Q113
median17
Q323.75
95-th percentile47.3
Maximum157
Range151
Interquartile range (IQR)10.75

Descriptive statistics

Standard deviation16.144014
Coefficient of variation (CV)0.75132392
Kurtosis21.334062
Mean21.487421
Median Absolute Deviation (MAD)5
Skewness3.8499824
Sum6833
Variance260.62918
MonotonicityNot monotonic
2025-11-25T08:49:55.945863image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1523
 
0.2%
1020
 
0.2%
1618
 
0.2%
1418
 
0.2%
1218
 
0.2%
1717
 
0.2%
1117
 
0.2%
1317
 
0.2%
2115
 
0.1%
1815
 
0.1%
Other values (43)140
 
1.3%
(Missing)10708
97.1%
ValueCountFrequency (%)
64
 
< 0.1%
71
 
< 0.1%
83
 
< 0.1%
99
 
0.1%
1020
0.2%
1117
0.2%
1218
0.2%
1317
0.2%
1418
0.2%
1523
0.2%
ValueCountFrequency (%)
1571
< 0.1%
982
< 0.1%
971
< 0.1%
931
< 0.1%
891
< 0.1%
711
< 0.1%
701
< 0.1%
641
< 0.1%
631
< 0.1%
611
< 0.1%

ast_U_L
Real number (ℝ)

High correlation  Missing 

Distinct223
Distinct (%)30.1%
Missing10285
Missing (%)93.3%
Infinite0
Infinite (%)0.0%
Mean43.764238
Minimum10
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.3 KiB
2025-11-25T08:49:55.999187image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile16
Q123
median46.4
Q361.2
95-th percentile73.4
Maximum100
Range90
Interquartile range (IQR)38.2

Descriptive statistics

Standard deviation20.453572
Coefficient of variation (CV)0.46735812
Kurtosis-1.3811424
Mean43.764238
Median Absolute Deviation (MAD)19.7
Skewness0.032422857
Sum32429.3
Variance418.3486
MonotonicityNot monotonic
2025-11-25T08:49:56.046579image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2027
 
0.2%
1723
 
0.2%
2323
 
0.2%
2123
 
0.2%
1922
 
0.2%
2222
 
0.2%
2519
 
0.2%
1518
 
0.2%
1817
 
0.2%
2615
 
0.1%
Other values (213)532
 
4.8%
(Missing)10285
93.3%
ValueCountFrequency (%)
101
 
< 0.1%
11.12
 
< 0.1%
123
 
< 0.1%
131
 
< 0.1%
148
 
0.1%
1518
0.2%
1613
0.1%
1723
0.2%
1817
0.2%
1922
0.2%
ValueCountFrequency (%)
1001
 
< 0.1%
971
 
< 0.1%
84.61
 
< 0.1%
84.32
< 0.1%
83.81
 
< 0.1%
801
 
< 0.1%
79.82
< 0.1%
782
< 0.1%
77.14
< 0.1%
772
< 0.1%

albumin_g_dL
Real number (ℝ)

Missing 

Distinct42
Distinct (%)4.5%
Missing10083
Missing (%)91.4%
Infinite0
Infinite (%)0.0%
Mean41.722163
Minimum29.5
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.3 KiB
2025-11-25T08:49:56.092221image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum29.5
5-th percentile37
Q140
median42
Q343.5
95-th percentile46
Maximum60
Range30.5
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation3.0719792
Coefficient of variation (CV)0.073629432
Kurtosis3.1871988
Mean41.722163
Median Absolute Deviation (MAD)2
Skewness0.32126751
Sum39344
Variance9.437056
MonotonicityNot monotonic
2025-11-25T08:49:56.140191image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
41119
 
1.1%
42109
 
1.0%
4395
 
0.9%
4072
 
0.7%
4460
 
0.5%
4550
 
0.5%
3950
 
0.5%
3849
 
0.4%
41.537
 
0.3%
40.533
 
0.3%
Other values (32)269
 
2.4%
(Missing)10083
91.4%
ValueCountFrequency (%)
29.51
 
< 0.1%
301
 
< 0.1%
312
 
< 0.1%
31.51
 
< 0.1%
32.51
 
< 0.1%
331
 
< 0.1%
343
 
< 0.1%
357
 
0.1%
35.51
 
< 0.1%
3618
0.2%
ValueCountFrequency (%)
601
 
< 0.1%
581
 
< 0.1%
561
 
< 0.1%
541
 
< 0.1%
522
 
< 0.1%
502
 
< 0.1%
495
< 0.1%
48.53
< 0.1%
486
0.1%
47.53
< 0.1%

total_protein_g_dL
Real number (ℝ)

High correlation  Missing 

Distinct868
Distinct (%)93.4%
Missing10097
Missing (%)91.6%
Infinite0
Infinite (%)0.0%
Mean55.019494
Minimum12.09
Maximum261.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.3 KiB
2025-11-25T08:49:56.190400image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum12.09
5-th percentile24.886
Q137.15
median49.1
Q366.7
95-th percentile100.98
Maximum261.25
Range249.16
Interquartile range (IQR)29.55

Descriptive statistics

Standard deviation26.854133
Coefficient of variation (CV)0.48808398
Kurtosis7.6577044
Mean55.019494
Median Absolute Deviation (MAD)14.07
Skewness2.0273365
Sum51113.11
Variance721.14448
MonotonicityNot monotonic
2025-11-25T08:49:56.239036image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
49.723
 
< 0.1%
32.773
 
< 0.1%
54.923
 
< 0.1%
65.152
 
< 0.1%
59.782
 
< 0.1%
30.582
 
< 0.1%
782
 
< 0.1%
44.922
 
< 0.1%
42.072
 
< 0.1%
35.452
 
< 0.1%
Other values (858)906
 
8.2%
(Missing)10097
91.6%
ValueCountFrequency (%)
12.091
< 0.1%
12.991
< 0.1%
14.381
< 0.1%
16.251
< 0.1%
17.441
< 0.1%
17.521
< 0.1%
18.021
< 0.1%
18.141
< 0.1%
18.151
< 0.1%
18.411
< 0.1%
ValueCountFrequency (%)
261.251
< 0.1%
209.41
< 0.1%
194.441
< 0.1%
184.781
< 0.1%
184.581
< 0.1%
174.971
< 0.1%
167.661
< 0.1%
166.311
< 0.1%
162.31
< 0.1%
150.851
< 0.1%

creatinine_umol_L
Real number (ℝ)

High correlation  Missing 

Distinct59
Distinct (%)27.2%
Missing10809
Missing (%)98.0%
Infinite0
Infinite (%)0.0%
Mean63.866359
Minimum31
Maximum169
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.3 KiB
2025-11-25T08:49:56.285661image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum31
5-th percentile44
Q154
median62
Q371
95-th percentile91
Maximum169
Range138
Interquartile range (IQR)17

Descriptive statistics

Standard deviation15.771975
Coefficient of variation (CV)0.24695278
Kurtosis8.6528075
Mean63.866359
Median Absolute Deviation (MAD)9
Skewness1.8734959
Sum13859
Variance248.75521
MonotonicityNot monotonic
2025-11-25T08:49:56.421404image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6211
 
0.1%
5410
 
0.1%
659
 
0.1%
488
 
0.1%
668
 
0.1%
577
 
0.1%
637
 
0.1%
587
 
0.1%
527
 
0.1%
597
 
0.1%
Other values (49)136
 
1.2%
(Missing)10809
98.0%
ValueCountFrequency (%)
311
 
< 0.1%
391
 
< 0.1%
411
 
< 0.1%
422
 
< 0.1%
433
 
< 0.1%
444
< 0.1%
455
< 0.1%
462
 
< 0.1%
473
 
< 0.1%
488
0.1%
ValueCountFrequency (%)
1691
< 0.1%
1141
< 0.1%
1101
< 0.1%
992
< 0.1%
981
< 0.1%
961
< 0.1%
951
< 0.1%
941
< 0.1%
921
< 0.1%
912
< 0.1%

creatinine_clearance_mL_min
Real number (ℝ)

High correlation  Missing 

Distinct113
Distinct (%)52.1%
Missing10809
Missing (%)98.0%
Infinite0
Infinite (%)0.0%
Mean129.04147
Minimum40
Maximum243
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.3 KiB
2025-11-25T08:49:56.471137image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum40
5-th percentile77.8
Q1100
median126
Q3153
95-th percentile192
Maximum243
Range203
Interquartile range (IQR)53

Descriptive statistics

Standard deviation37.493371
Coefficient of variation (CV)0.29055287
Kurtosis-0.35583415
Mean129.04147
Median Absolute Deviation (MAD)26
Skewness0.36660724
Sum28002
Variance1405.7529
MonotonicityNot monotonic
2025-11-25T08:49:56.524016image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1307
 
0.1%
1275
 
< 0.1%
905
 
< 0.1%
935
 
< 0.1%
1005
 
< 0.1%
945
 
< 0.1%
1205
 
< 0.1%
864
 
< 0.1%
1354
 
< 0.1%
1194
 
< 0.1%
Other values (103)168
 
1.5%
(Missing)10809
98.0%
ValueCountFrequency (%)
401
< 0.1%
591
< 0.1%
601
< 0.1%
642
< 0.1%
652
< 0.1%
661
< 0.1%
681
< 0.1%
711
< 0.1%
771
< 0.1%
781
< 0.1%
ValueCountFrequency (%)
2431
< 0.1%
2251
< 0.1%
2171
< 0.1%
2091
< 0.1%
2051
< 0.1%
2031
< 0.1%
1992
< 0.1%
1981
< 0.1%
1971
< 0.1%
1961
< 0.1%

potassium_mEq_L
Real number (ℝ)

High correlation  Missing 

Distinct30
Distinct (%)16.8%
Missing10847
Missing (%)98.4%
Infinite0
Infinite (%)0.0%
Mean4.8128492
Minimum3.5
Maximum6.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.3 KiB
2025-11-25T08:49:56.569882image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum3.5
5-th percentile3.9
Q14.4
median4.8
Q35.1
95-th percentile5.9
Maximum6.6
Range3.1
Interquartile range (IQR)0.7

Descriptive statistics

Standard deviation0.60670619
Coefficient of variation (CV)0.12605967
Kurtosis0.32414825
Mean4.8128492
Median Absolute Deviation (MAD)0.4
Skewness0.53010157
Sum861.5
Variance0.3680924
MonotonicityNot monotonic
2025-11-25T08:49:56.612346image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
4.716
 
0.1%
4.915
 
0.1%
4.815
 
0.1%
4.313
 
0.1%
4.411
 
0.1%
5.110
 
0.1%
4.610
 
0.1%
5.29
 
0.1%
59
 
0.1%
4.18
 
0.1%
Other values (20)63
 
0.6%
(Missing)10847
98.4%
ValueCountFrequency (%)
3.51
 
< 0.1%
3.61
 
< 0.1%
3.72
 
< 0.1%
3.83
 
< 0.1%
3.96
0.1%
42
 
< 0.1%
4.18
0.1%
4.26
0.1%
4.313
0.1%
4.411
0.1%
ValueCountFrequency (%)
6.62
 
< 0.1%
6.41
 
< 0.1%
6.31
 
< 0.1%
6.23
< 0.1%
6.11
 
< 0.1%
5.93
< 0.1%
5.82
 
< 0.1%
5.75
< 0.1%
5.63
< 0.1%
5.56
0.1%

total_cholesterol_mmol_L
Real number (ℝ)

High correlation  Missing 

Distinct463
Distinct (%)24.4%
Missing9128
Missing (%)82.8%
Infinite0
Infinite (%)0.0%
Mean4.3553477
Minimum1.12
Maximum11.98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.3 KiB
2025-11-25T08:49:56.661774image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1.12
5-th percentile2.71
Q13.62
median4.27
Q35.02
95-th percentile6.2215
Maximum11.98
Range10.86
Interquartile range (IQR)1.4

Descriptive statistics

Standard deviation1.1002132
Coefficient of variation (CV)0.25261202
Kurtosis2.4442516
Mean4.3553477
Median Absolute Deviation (MAD)0.69
Skewness0.71617034
Sum8266.45
Variance1.2104691
MonotonicityNot monotonic
2025-11-25T08:49:56.712007image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.1120
 
0.2%
416
 
0.1%
3.9914
 
0.1%
4.7513
 
0.1%
4.3813
 
0.1%
4.3712
 
0.1%
4.0412
 
0.1%
3.911
 
0.1%
3.8911
 
0.1%
4.0911
 
0.1%
Other values (453)1765
 
16.0%
(Missing)9128
82.8%
ValueCountFrequency (%)
1.121
 
< 0.1%
1.221
 
< 0.1%
1.291
 
< 0.1%
1.381
 
< 0.1%
1.541
 
< 0.1%
1.591
 
< 0.1%
1.61
 
< 0.1%
1.83
< 0.1%
1.821
 
< 0.1%
1.851
 
< 0.1%
ValueCountFrequency (%)
11.981
< 0.1%
10.481
< 0.1%
10.291
< 0.1%
9.282
< 0.1%
9.041
< 0.1%
8.651
< 0.1%
8.181
< 0.1%
7.821
< 0.1%
7.711
< 0.1%
7.71
< 0.1%

hdl_cholesterol_mmol_L_consolidated
Real number (ℝ)

Missing 

Distinct597
Distinct (%)20.5%
Missing8108
Missing (%)73.5%
Infinite0
Infinite (%)0.0%
Mean1.1788861
Minimum0.1
Maximum4.18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.3 KiB
2025-11-25T08:49:56.759885image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.61
Q10.9001099
median1.12
Q31.4
95-th percentile1.9
Maximum4.18
Range4.08
Interquartile range (IQR)0.4998901

Descriptive statistics

Standard deviation0.40627866
Coefficient of variation (CV)0.34462929
Kurtosis3.8978187
Mean1.1788861
Median Absolute Deviation (MAD)0.23
Skewness1.1937042
Sum3439.9895
Variance0.16506235
MonotonicityNot monotonic
2025-11-25T08:49:56.812104image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.9104
 
0.9%
1.1103
 
0.9%
194
 
0.9%
1.277
 
0.7%
1.464
 
0.6%
0.862
 
0.6%
1.358
 
0.5%
0.749
 
0.4%
1.540
 
0.4%
1.0430
 
0.3%
Other values (587)2237
 
20.3%
(Missing)8108
73.5%
ValueCountFrequency (%)
0.11
< 0.1%
0.21
< 0.1%
0.20041375741
< 0.1%
0.26118438071
< 0.1%
0.27463149731
< 0.1%
0.281
< 0.1%
0.28445823641
< 0.1%
0.321
< 0.1%
0.332
< 0.1%
0.342
< 0.1%
ValueCountFrequency (%)
4.181
 
< 0.1%
3.73
< 0.1%
3.241
 
< 0.1%
3.141
 
< 0.1%
3.131
 
< 0.1%
3.111
 
< 0.1%
3.091
 
< 0.1%
2.973
< 0.1%
2.81
 
< 0.1%
2.791
 
< 0.1%

ldl_cholesterol_mmol_L_consolidated
Real number (ℝ)

High correlation  Missing 

Distinct831
Distinct (%)28.5%
Missing8109
Missing (%)73.5%
Infinite0
Infinite (%)0.0%
Mean2.3042833
Minimum0
Maximum9.74
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size86.3 KiB
2025-11-25T08:49:56.864793image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.938
Q11.62
median2.23
Q32.9
95-th percentile3.924
Maximum9.74
Range9.74
Interquartile range (IQR)1.28

Descriptive statistics

Standard deviation0.93255652
Coefficient of variation (CV)0.40470567
Kurtosis1.2297178
Mean2.3042833
Median Absolute Deviation (MAD)0.63
Skewness0.56391977
Sum6721.5944
Variance0.86966167
MonotonicityNot monotonic
2025-11-25T08:49:56.914306image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.749
 
0.4%
2.341
 
0.4%
1.739
 
0.4%
2.137
 
0.3%
2.236
 
0.3%
235
 
0.3%
1.933
 
0.3%
2.432
 
0.3%
1.831
 
0.3%
2.831
 
0.3%
Other values (821)2553
 
23.2%
(Missing)8109
73.5%
ValueCountFrequency (%)
01
< 0.1%
0.031
< 0.1%
0.141
< 0.1%
0.151
< 0.1%
0.181
< 0.1%
0.211
< 0.1%
0.262
< 0.1%
0.271
< 0.1%
0.281
< 0.1%
0.332
< 0.1%
ValueCountFrequency (%)
9.741
< 0.1%
6.041
< 0.1%
5.571
< 0.1%
5.551
< 0.1%
5.361
< 0.1%
5.231
< 0.1%
5.222
< 0.1%
5.121
< 0.1%
5.071
< 0.1%
5.061
< 0.1%

triglycerides_mmol_L_consolidated
Real number (ℝ)

High correlation  Missing 

Distinct207
Distinct (%)21.3%
Missing10054
Missing (%)91.2%
Infinite0
Infinite (%)0.0%
Mean1.0413786
Minimum0.22
Maximum10.42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.3 KiB
2025-11-25T08:49:56.962147image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0.22
5-th percentile0.42
Q10.64
median0.85
Q31.21
95-th percentile2.1545
Maximum10.42
Range10.2
Interquartile range (IQR)0.57

Descriptive statistics

Standard deviation0.74350213
Coefficient of variation (CV)0.71395949
Kurtosis38.239011
Mean1.0413786
Median Absolute Deviation (MAD)0.255
Skewness4.6665268
Sum1012.22
Variance0.55279542
MonotonicityNot monotonic
2025-11-25T08:49:57.010866image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.8217
 
0.2%
0.8117
 
0.2%
0.7116
 
0.1%
0.6616
 
0.1%
0.6915
 
0.1%
0.5414
 
0.1%
0.8314
 
0.1%
0.7913
 
0.1%
0.7813
 
0.1%
0.6513
 
0.1%
Other values (197)824
 
7.5%
(Missing)10054
91.2%
ValueCountFrequency (%)
0.221
 
< 0.1%
0.251
 
< 0.1%
0.281
 
< 0.1%
0.32
 
< 0.1%
0.322
 
< 0.1%
0.334
< 0.1%
0.344
< 0.1%
0.356
0.1%
0.362
 
< 0.1%
0.375
< 0.1%
ValueCountFrequency (%)
10.421
< 0.1%
7.241
< 0.1%
5.62
< 0.1%
5.451
< 0.1%
5.241
< 0.1%
5.131
< 0.1%
5.011
< 0.1%
4.541
< 0.1%
4.41
< 0.1%
4.061
< 0.1%

fasting_glucose_mmol_L
Real number (ℝ)

Missing 

Distinct414
Distinct (%)24.2%
Missing9316
Missing (%)84.5%
Infinite0
Infinite (%)0.0%
Mean5.1967427
Minimum0.95
Maximum29.76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.3 KiB
2025-11-25T08:49:57.057906image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0.95
5-th percentile3.7645
Q14.51
median5
Q35.51
95-th percentile6.8655
Maximum29.76
Range28.81
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.6183201
Coefficient of variation (CV)0.31141048
Kurtosis53.248894
Mean5.1967427
Median Absolute Deviation (MAD)0.5
Skewness5.5477495
Sum8886.43
Variance2.6189601
MonotonicityNot monotonic
2025-11-25T08:49:57.106595image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.7518
 
0.2%
5.2114
 
0.1%
5.0314
 
0.1%
5.1713
 
0.1%
4.5713
 
0.1%
4.8713
 
0.1%
4.9113
 
0.1%
4.9712
 
0.1%
5.1612
 
0.1%
4.9312
 
0.1%
Other values (404)1576
 
14.3%
(Missing)9316
84.5%
ValueCountFrequency (%)
0.951
< 0.1%
1.121
< 0.1%
1.371
< 0.1%
1.471
< 0.1%
2.021
< 0.1%
2.041
< 0.1%
2.211
< 0.1%
2.221
< 0.1%
2.261
< 0.1%
2.552
< 0.1%
ValueCountFrequency (%)
29.761
< 0.1%
20.211
< 0.1%
20.031
< 0.1%
19.781
< 0.1%
17.71
< 0.1%
16.791
< 0.1%
16.441
< 0.1%
151
< 0.1%
14.441
< 0.1%
14.371
< 0.1%

Interactions

2025-11-25T08:49:52.423327image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:24.530044image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:26.136348image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:27.139399image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:28.227531image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:29.167200image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:30.145519image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:31.179997image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:32.115633image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:33.150884image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:34.118690image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:35.177438image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:36.288970image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:37.373320image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:38.409241image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:39.371277image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:40.382191image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:41.284657image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:42.238662image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:43.130405image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:43.997023image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:44.989899image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:45.847348image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:46.815452image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:47.730544image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:48.519421image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:49.553571image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:50.544410image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:51.546959image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:52.459351image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:24.584396image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:26.169748image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:27.175987image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:28.262195image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:29.198760image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:30.182974image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:31.211722image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:32.148046image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:33.183423image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:34.158429image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:35.212314image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:36.323554image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:37.406317image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:38.441587image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:39.416525image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:40.416764image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:41.312243image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:42.268748image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:43.158087image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:44.036576image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:45.026683image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:45.878597image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:46.846691image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:47.756797image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:48.554391image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:49.590483image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:50.580238image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:51.582338image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:52.492564image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:24.664563image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:26.201300image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:27.212939image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:28.299345image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:29.236305image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:30.224594image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:31.246105image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:32.183697image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:33.220369image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:34.209245image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:35.365801image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:36.359080image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:37.442652image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:38.476541image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:39.455087image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:40.454698image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:41.336946image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:42.296494image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:43.182884image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:44.070515image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:45.062119image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:45.905018image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:46.874212image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:47.784238image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:48.588851image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:49.625103image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:50.614402image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:51.614447image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:52.520613image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:24.763825image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:26.237446image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:27.248410image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:28.337261image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:29.274962image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:30.261308image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:31.285439image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:32.222516image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:33.258195image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:34.267627image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:35.408589image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:36.398589image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:37.479180image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:38.515507image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:39.490016image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:40.487637image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:41.369952image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:42.327060image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:43.214370image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:44.104127image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:45.088629image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:45.940237image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:46.908143image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:47.811174image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:48.621891image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:49.662890image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:50.647728image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:51.641957image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:52.547795image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:24.819758image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:26.271859image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
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2025-11-25T08:49:46.586769image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:47.575074image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:48.378169image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:49.375108image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:50.354798image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:51.372971image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:52.245694image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:53.143841image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:25.972575image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:27.004464image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:28.009178image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:29.048986image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:30.028767image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:31.072618image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:31.997128image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:33.033278image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:33.986797image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:35.058547image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:36.169091image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:37.234995image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:38.289509image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:39.240108image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:40.272056image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:41.179360image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:42.041971image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:43.008764image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:43.881381image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:44.845186image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:45.707139image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:46.618891image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:47.610036image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:48.405410image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:49.409323image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:50.391398image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:51.406210image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:52.282166image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:53.181447image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:26.016006image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:27.039038image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:28.052235image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:29.082970image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:30.060610image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:31.099382image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:32.030742image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:33.065745image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:34.020067image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:35.092886image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:36.204006image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:37.288893image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:38.324934image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:39.276276image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:40.298446image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:41.205818image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:42.156286image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:43.045619image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:43.912462image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:44.882204image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:45.742213image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:46.652054image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:47.644886image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:48.433975image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:49.446218image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:50.432206image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:51.444268image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:52.319107image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:53.217234image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:26.059632image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:27.071853image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:28.082968image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:29.111255image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:30.089102image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:31.125487image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:32.059300image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:33.095100image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:34.047727image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:35.122230image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:36.234775image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:37.317932image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:38.354525image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:39.309706image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:40.326163image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:41.232635image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:42.184223image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:43.073768image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:43.941319image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:44.918397image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:45.777301image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:46.679603image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:47.675220image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:48.461696image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:49.480238image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:50.469247image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:51.477723image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:52.355244image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:53.254243image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:26.097788image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:27.106746image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:28.199505image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:29.138787image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:30.116334image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:31.153618image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:32.086799image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:33.122605image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:34.081934image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:35.149055image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:36.262129image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:37.346725image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:38.381970image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:39.338823image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:40.353008image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:41.258533image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:42.211183image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:43.101075image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:43.969172image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:44.954047image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:45.810565image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:46.706090image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:47.703647image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:48.491141image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:49.516603image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:50.503829image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:51.512039image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-11-25T08:49:52.388626image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Correlations

2025-11-25T08:49:57.154861image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Age (at enrolment)BMI (kg/m²)Sexalbumin_g_dLalt_U_Last_U_Lbasophil_count_10e9_Lcd4_count_cells_uLcreatinine_clearance_mL_mincreatinine_umol_Leosinophil_count_10e9_Lfasting_glucose_mmol_Lhdl_cholesterol_mmol_L_consolidatedhematocrit_percenthemoglobin_g_dLhiv_vl_copies_mLldl_cholesterol_mmol_L_consolidatedlymphocyte_count_10e9_Lmch_pgmchc_g_dLmcv_fLmonocyte_count_10e9_Lneutrophil_count_10e9_Lplatelet_count_10e9_Lpotassium_mEq_Lrdw_percentstudy_sourcetotal_cholesterol_mmol_Ltotal_protein_g_dLtriglycerides_mmol_L_consolidatedwbc_count_10e9_L
Age (at enrolment)1.0000.3100.052-0.0440.040-0.0810.0670.042-0.2970.2120.0270.1380.255-0.187-0.148-0.2450.318-0.0040.0510.0200.189-0.054-0.115-0.073NaN-0.0990.2420.158-0.1390.045-0.080
BMI (kg/m²)0.3101.0000.236-0.185NaNNaN0.0120.087NaNNaN0.0040.201-0.138-0.121-0.111-0.1410.2220.126-0.011-0.000-0.0160.0630.0550.0950.117NaN0.2060.124-0.1340.1340.088
Sex0.0520.2361.0000.2620.1390.4400.0040.1850.3090.5890.0540.0700.0840.4390.5940.0000.0730.0810.1770.1730.1580.0000.0000.1690.0000.1360.6080.0680.2680.1650.079
albumin_g_dL-0.044-0.1850.2621.000NaNNaNNaNNaNNaNNaNNaN0.0670.096NaNNaNNaN0.106NaNNaNNaNNaNNaNNaNNaNNaNNaN0.0000.1900.0950.193NaN
alt_U_L0.040NaN0.139NaN1.0000.706-0.0810.122-0.0330.167-0.109NaN0.0110.0380.1700.109-0.0330.062NaNNaN-0.0940.0910.063-0.011NaN-0.1660.191-0.027NaNNaN0.025
ast_U_L-0.081NaN0.440NaN0.7061.000-0.0730.086-0.2360.186-0.072NaN0.130-0.2920.1530.047-0.080-0.128NaNNaN-0.146-0.0030.044-0.008NaN-0.0780.464-0.065NaNNaN-0.220
basophil_count_10e9_L0.0670.0120.004NaN-0.081-0.0731.0000.185-0.1300.1420.189NaN0.0280.0750.056-0.193-0.0120.3930.021-0.0270.0710.2120.1670.134NaN0.0820.1270.002NaNNaN0.340
cd4_count_cells_uL0.0420.0870.185NaN0.1220.0860.1851.000-0.002-0.0380.037NaN-0.0060.1740.143-0.796-0.0240.3050.1050.0340.293-0.0780.0880.053NaN0.0540.522-0.014NaNNaN0.189
creatinine_clearance_mL_min-0.297NaN0.309NaN-0.033-0.236-0.130-0.0021.000-0.676-0.016NaN-0.181NaN-0.1710.012-0.0370.039NaNNaN-0.1460.0510.1270.252NaN0.1131.000-0.077NaNNaN0.132
creatinine_umol_L0.212NaN0.589NaN0.1670.1860.142-0.038-0.6761.0000.113NaN0.006NaN0.4490.1130.068-0.022NaNNaN0.0310.014-0.136-0.278NaN-0.1911.0000.098NaNNaN-0.105
eosinophil_count_10e9_L0.0270.0040.054NaN-0.109-0.0720.1890.037-0.0160.1131.000NaN-0.0650.0530.059-0.008-0.0610.1350.0540.0090.0690.079-0.0220.006NaN-0.0560.000-0.075NaNNaN0.128
fasting_glucose_mmol_L0.1380.2010.0700.067NaNNaNNaNNaNNaNNaNNaN1.000-0.072NaNNaNNaN0.074NaNNaNNaNNaNNaNNaNNaNNaNNaN0.1500.019-0.0150.298NaN
hdl_cholesterol_mmol_L_consolidated0.255-0.1380.0840.0960.0110.1300.028-0.006-0.1810.006-0.065-0.0721.000NaN-0.064-0.1700.220-0.128NaNNaN0.041-0.042-0.028-0.065NaN0.0560.2300.4200.002-0.255-0.104
hematocrit_percent-0.187-0.1210.439NaN0.038-0.2920.0750.174NaNNaN0.053NaNNaN1.0000.979-0.093NaN0.1220.3330.2300.3260.0280.064-0.168NaNNaN0.303NaNNaNNaN0.156
hemoglobin_g_dL-0.148-0.1110.594NaN0.1700.1530.0560.143-0.1710.4490.059NaN-0.0640.9791.000-0.0880.1380.0950.4360.3920.3600.0030.054-0.198NaN-0.4830.2580.150NaNNaN0.074
hiv_vl_copies_mL-0.245-0.1410.000NaN0.1090.047-0.193-0.7960.0120.113-0.008NaN-0.170-0.093-0.0881.000-0.013-0.334-0.0030.032-0.2350.104-0.017-0.040NaN0.0330.050-0.019NaNNaN-0.143
ldl_cholesterol_mmol_L_consolidated0.3180.2220.0730.106-0.033-0.080-0.012-0.024-0.0370.068-0.0610.0740.220NaN0.138-0.0131.0000.018NaNNaN0.0560.0250.0280.120NaN-0.1260.2850.729-0.0220.1390.033
lymphocyte_count_10e9_L-0.0040.1260.081NaN0.062-0.1280.3930.3050.039-0.0220.135NaN-0.1280.1220.095-0.3340.0181.0000.069-0.0050.1530.3310.1800.159NaN0.0270.1680.021NaNNaN0.633
mch_pg0.051-0.0110.177NaNNaNNaN0.0210.105NaNNaN0.054NaNNaN0.3330.436-0.003NaN0.0691.0000.6790.9600.005-0.015-0.138NaNNaN1.000NaNNaNNaN0.019
mchc_g_dL0.020-0.0000.173NaNNaNNaN-0.0270.034NaNNaN0.009NaNNaN0.2300.3920.032NaN-0.0050.6791.0000.476-0.026-0.029-0.137NaNNaN1.000NaNNaNNaN-0.025
mcv_fL0.189-0.0160.158NaN-0.094-0.1460.0710.293-0.1460.0310.069NaN0.0410.3260.360-0.2350.0560.1530.9600.4761.000-0.010-0.021-0.120NaN-0.1420.5730.071NaNNaN0.055
monocyte_count_10e9_L-0.0540.0630.000NaN0.091-0.0030.212-0.0780.0510.0140.079NaN-0.0420.0280.0030.1040.0250.3310.005-0.026-0.0101.0000.4410.183NaN0.0970.0690.023NaNNaN0.593
neutrophil_count_10e9_L-0.1150.0550.000NaN0.0630.0440.1670.0880.127-0.136-0.022NaN-0.0280.0640.054-0.0170.0280.180-0.015-0.029-0.0210.4411.0000.261NaN0.0030.0620.013NaNNaN0.826
platelet_count_10e9_L-0.0730.0950.169NaN-0.011-0.0080.1340.0530.252-0.2780.006NaN-0.065-0.168-0.198-0.0400.1200.159-0.138-0.137-0.1200.1830.2611.000NaN0.1280.0000.119NaNNaN0.276
potassium_mEq_LNaN0.1170.000NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN1.000NaN1.000NaNNaNNaNNaN
rdw_percent-0.099NaN0.136NaN-0.166-0.0780.0820.0540.113-0.191-0.056NaN0.056NaN-0.4830.033-0.1260.027NaNNaN-0.1420.0970.0030.128NaN1.0001.000-0.103NaNNaN-0.012
study_source0.2420.2060.6080.0000.1910.4640.1270.5221.0001.0000.0000.1500.2300.3030.2580.0500.2850.1681.0001.0000.5730.0690.0620.0001.0001.0001.0000.1811.0001.0000.139
total_cholesterol_mmol_L0.1580.1240.0680.190-0.027-0.0650.002-0.014-0.0770.098-0.0750.0190.420NaN0.150-0.0190.7290.021NaNNaN0.0710.0230.0130.119NaN-0.1030.1811.000-0.0060.2700.018
total_protein_g_dL-0.139-0.1340.2680.095NaNNaNNaNNaNNaNNaNNaN-0.0150.002NaNNaNNaN-0.022NaNNaNNaNNaNNaNNaNNaNNaNNaN1.000-0.0061.0000.104NaN
triglycerides_mmol_L_consolidated0.0450.1340.1650.193NaNNaNNaNNaNNaNNaNNaN0.298-0.255NaNNaNNaN0.139NaNNaNNaNNaNNaNNaNNaNNaNNaN1.0000.2700.1041.000NaN
wbc_count_10e9_L-0.0800.0880.079NaN0.025-0.2200.3400.1890.132-0.1050.128NaN-0.1040.1560.074-0.1430.0330.6330.019-0.0250.0550.5930.8260.276NaN-0.0120.1390.018NaNNaN1.000

Missing values

2025-11-25T08:49:53.319399image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
A simple visualization of nullity by column.
2025-11-25T08:49:53.480646image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2025-11-25T08:49:53.745468image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

study_sourceAge (at enrolment)SexBMI (kg/m²)cd4_count_cells_uLhiv_vl_copies_mLart_statushemoglobin_g_dLhematocrit_percentwbc_count_10e9_Lplatelet_count_10e9_Lneutrophil_count_10e9_Llymphocyte_count_10e9_Lmonocyte_count_10e9_Leosinophil_count_10e9_Lbasophil_count_10e9_Lmcv_fLmch_pgmchc_g_dLrdw_percentalt_U_Last_U_Lalbumin_g_dLtotal_protein_g_dLcreatinine_umol_Lcreatinine_clearance_mL_minpotassium_mEq_Ltotal_cholesterol_mmol_Lhdl_cholesterol_mmol_L_consolidatedldl_cholesterol_mmol_L_consolidatedtriglycerides_mmol_L_consolidatedfasting_glucose_mmol_L
0JHB_WRHI_00330.0FemaleNaN1020.00.0Positive10.9NaN5.21390.01.842.810.470.070.0383.6NaNNaN18.116.025.0NaNNaN49.0145.0NaN6.792.304.35NaNNaN
1JHB_WRHI_00353.0FemaleNaN446.00.0Positive13.5NaN3.68234.01.371.790.380.110.02112.8NaNNaN16.18.015.0NaNNaN74.065.0NaN4.931.493.10NaNNaN
2JHB_WRHI_00336.0FemaleNaN1054.040.0Positive13.3NaN7.71344.02.334.700.560.110.0281.5NaNNaN13.217.017.0NaNNaN59.0199.0NaN5.191.253.19NaNNaN
3JHB_WRHI_00347.0FemaleNaN989.00.0Positive10.8NaN6.35257.03.422.340.520.040.03107.2NaNNaN15.511.012.0NaNNaN53.0181.0NaN6.691.524.80NaNNaN
4JHB_WRHI_00334.0MaleNaN160.040.0Positive11.2NaN4.17343.02.211.330.440.180.02102.0NaNNaN15.041.032.0NaNNaN66.0145.0NaN3.191.181.51NaNNaN
5JHB_WRHI_00340.0FemaleNaN989.040.0Positive15.1NaN7.09319.02.274.180.350.280.00101.2NaNNaN14.114.017.0NaNNaN52.0177.0NaN5.581.063.66NaNNaN
6JHB_WRHI_00335.0MaleNaN453.00.0Positive17.4NaN4.66229.02.291.480.490.370.0394.9NaNNaN13.730.024.0NaNNaN98.0113.0NaN5.521.673.70NaNNaN
7JHB_WRHI_00330.0MaleNaN288.00.0Positive17.7NaN4.12240.02.141.430.440.100.0187.5NaNNaN13.864.043.0NaNNaN81.084.0NaN4.561.273.12NaNNaN
8JHB_WRHI_00344.0FemaleNaN907.00.0Positive12.3NaN4.77230.01.492.740.460.050.0292.9NaNNaN15.025.031.0NaNNaN74.0119.0NaN4.121.232.25NaNNaN
9JHB_WRHI_00336.0MaleNaN509.040.0Positive15.5NaN4.72186.02.851.630.190.030.0297.1NaNNaN12.928.026.0NaNNaN59.0154.0NaN4.261.772.21NaNNaN
study_sourceAge (at enrolment)SexBMI (kg/m²)cd4_count_cells_uLhiv_vl_copies_mLart_statushemoglobin_g_dLhematocrit_percentwbc_count_10e9_Lplatelet_count_10e9_Lneutrophil_count_10e9_Llymphocyte_count_10e9_Lmonocyte_count_10e9_Leosinophil_count_10e9_Lbasophil_count_10e9_Lmcv_fLmch_pgmchc_g_dLrdw_percentalt_U_Last_U_Lalbumin_g_dLtotal_protein_g_dLcreatinine_umol_Lcreatinine_clearance_mL_minpotassium_mEq_Ltotal_cholesterol_mmol_Lhdl_cholesterol_mmol_L_consolidatedldl_cholesterol_mmol_L_consolidatedtriglycerides_mmol_L_consolidatedfasting_glucose_mmol_L
11016JHB_ACTG_019NaNNaNNaNNaNNaNNaNNaN39.94.7NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
11017JHB_ACTG_019NaNNaNNaNNaNNaNNaNNaN37.23.1NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
11018JHB_ACTG_019NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
11019JHB_ACTG_019NaNNaNNaNNaNNaNNaNNaN33.43.2NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
11020JHB_ACTG_019NaNNaNNaNNaNNaNNaNNaN30.32.6NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
11021JHB_ACTG_019NaNNaNNaNNaNNaNNaNNaN30.54.3NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
11022JHB_ACTG_019NaNNaNNaNNaNNaNNaNNaN47.15.9NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
11023JHB_ACTG_019NaNNaNNaNNaNNaNNaNNaN42.94.6NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
11024JHB_ACTG_019NaNNaNNaNNaNNaNNaNNaN37.45.5NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
11025JHB_ACTG_019NaNNaNNaNNaNNaNNaNNaN39.83.7NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN

Duplicate rows

Most frequently occurring

study_sourceAge (at enrolment)SexBMI (kg/m²)cd4_count_cells_uLhiv_vl_copies_mLart_statushemoglobin_g_dLhematocrit_percentwbc_count_10e9_Lplatelet_count_10e9_Lneutrophil_count_10e9_Llymphocyte_count_10e9_Lmonocyte_count_10e9_Leosinophil_count_10e9_Lbasophil_count_10e9_Lmcv_fLmch_pgmchc_g_dLrdw_percentalt_U_Last_U_Lalbumin_g_dLtotal_protein_g_dLcreatinine_umol_Lcreatinine_clearance_mL_minpotassium_mEq_Ltotal_cholesterol_mmol_Lhdl_cholesterol_mmol_L_consolidatedldl_cholesterol_mmol_L_consolidatedtriglycerides_mmol_L_consolidatedfasting_glucose_mmol_L# duplicates
94JHB_ACTG_018NaNUnknownNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN240
178JHB_ACTG_021NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN78
332JHB_VIDA_00723.0MaleNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN60
342JHB_VIDA_00728.0MaleNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN58
336JHB_VIDA_00725.0MaleNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN53
328JHB_VIDA_00721.0MaleNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN52
330JHB_VIDA_00722.0MaleNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN51
326JHB_VIDA_00720.0MaleNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN50
338JHB_VIDA_00726.0MaleNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN50
324JHB_VIDA_00719.0MaleNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN47